title: MRI texture analysis in paediatric oncology: a preliminary study.
abstract: Despite current advances in neuro-imaging, the characterisation of paediatric brain tumours and neurological disorders is very challenging. Whilst Magnetic Resonance Imaging (MRI) provides images of superb clarity, it gives little information on how aggressive a tumour is. It is also very difficult to visually inspect any underlying textural patterns between tumours on MR images. This gives rise to the need for a quantitative means of analysing MR images for characterising tumours. In this work, we present a preliminary investigation into the effectiveness of texture analysis as a quantitative approach for classifying paediatric brain tumours.
authors.affiliation: University of Birmingham, Birmingham, United Kingdom.
authors.forename: Ahmed E
authors.initials: AE
authors.lastname: Fetit
authors.forename: Jan
authors.initials: J
authors.lastname: Novak
authors.forename: Daniel
authors.initials: D
authors.lastname: Rodriguez
authors.forename: Dorothee P
authors.initials: DP
authors.lastname: Auer
authors.forename: Chris A
authors.initials: CA
authors.lastname: Clark
authors.forename: Richard G
authors.initials: RG
authors.lastname: Grundy
authors.forename: Tim
authors.initials: T
authors.lastname: Jaspan
authors.forename: Andrew C
authors.initials: AC
authors.lastname: Peet
authors.forename: Theodoros N
authors.initials: TN
authors.lastname: Arvanitis
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000473:pathology*; D001932:Brain Neoplasms / Q000473:pathology*; D002648:Child; D002675:Child, Preschool; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007223:Infant; D007231:Infant, Newborn; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D010865:Pilot Projects; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity